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Which of the following statement(s) is / are true for Gradient Decent (GD) and Stochastic Gradient Decent (SGD)?

Which of the following statement(s) is / are true for Gradient Decent (GD) and Stochastic Gradient Decent (SGD)?
In GD and SGD, you update a set of parameters in an iterative manner to minimize the error function.
In SGD, you have to run through all the samples in your training set for a single update of a parameter in each iteration.
In GD, you either use the entire data or a subset of training data to update a parameter in each iteration.
A) Only 1
B) Only 2
C) Only 3
D) 1 and 2
E) 2 and 3